Note: The job is a remote job and is open to candidates in USA. The Giant Bullseye is seeking Forward Deployed AI Engineers to partner with a major healthcare payer in the U.S. to drive AI-led transformation across core business workflows. This role involves designing, building, and deploying AI agents to enhance healthcare operations and enable teams to become AI-native and self-sufficient.

Responsibilities

• Redesign healthcare processes using AI-first principles
• Identify opportunities to replace or augment manual workflows with AI agents
• Translate business problems into working AI solutions
• Design, build, and deploy AI agents for enterprise workflows
• Implement multi-agent systems using LLMs (prompting, memory, tool usage)
• Rapidly prototype and productionize solutions using platforms such as: OpenAI, Anthropic, Google (Gemini)
• Work directly with client teams (business + IT) to: Whiteboard solutions, Build prototypes in days/weeks, Deploy and iterate rapidly
• Operate as a trusted advisor and builder
• Leverage AI across the software lifecycle: Code generation and refactoring, Automated testing and validation, Documentation and observability
• Drive productivity improvements across engineering teams
• Train business and operations teams to: Use AI tools and agents effectively, Build and iterate workflows independently
• Develop reusable playbooks and frameworks

Skills

• Strong software engineering background (Python, APIs, microservices)
• Experience with LLMs, prompt engineering, and AI frameworks
• Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.)
• Experience building AI/ML or LLM-powered applications
• Understanding of structured and unstructured data pipelines
• Knowledge of model evaluation, monitoring, and governance
• Experience with AWS
• Experience with Azure
• Strong communication and stakeholder management
• Ability to work directly with business teams
• Experience in rapid prototyping and iterative delivery
• 6–12+ years in software engineering, AI, or related roles
• Experience in U.S. healthcare payer or PBM environments
• Understanding of claims, prior auth, or care management workflows
• Familiarity with regulatory/compliance (HIPAA)
• Prior client-facing / consulting experience preferred

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